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Create a function that invokes a provided function according to an argument mask.

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maskArguments

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Create a function that invokes a provided function according to an argument mask.

Usage

import maskArguments from 'https://cdn.jsdelivr.net/gh/stdlib-js/utils-mask-arguments@deno/mod.js';

maskArguments( fcn, mask[, thisArg] )

Returns a function that invokes a provided function according to an argument mask.

function foo( a, b ) {
    return [ a, b ];
}

var bar = maskArguments( foo, [ 1, 0, 1 ] );

var out = bar( 1, 2, 3 );
// returns [ 1, 3 ]

To set the this context when invoking the provided function, provide a thisArg.

function Foo() {
    this.x = 1;
    this.y = 2;
}

Foo.prototype.scale = function scale( a, b ) {
    return [ this.x*a, this.y*b ];
};

var ctx = {
    'x': 10,
    'y': 20
};

var foo = new Foo();

var bar = maskArguments( foo.scale, [ 1, 0, 1 ], ctx );

var out = bar( 1, 2, 3 );
// returns [ 10, 60 ]

Notes

  • Only those arguments having a truthy mask value are applied to a provided function.

Examples

import filledarrayBy from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-filled-by@deno/mod.js';
import Uint8Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-uint8@deno/mod.js';
import add from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-ops-add@deno/mod.js';
import maskArguments from 'https://cdn.jsdelivr.net/gh/stdlib-js/utils-mask-arguments@deno/mod.js';

function fill( i ) {
    return i;
}

// Create a data array:
var x = filledarrayBy( 10, 'float64', fill );

// Create a mask array:
var mask = new Uint8Array( x.length );

// "Unmask" the first element:
mask[ 0 ] = 1;

// Compute the sum of consecutive elements...
var f;
var i;
for ( i = 1; i < x.length; i++ ) {
    // "Unmask" the next element:
    mask[ i ] = 1;

    // Compute the sum:
    f = maskArguments( add, mask );
    console.log( 'sum(x_%d, x_%d) = %d', i-1, i, f.apply( null, x ) );

    // Update the mask:
    mask[ i-1 ] = 0;
}

See Also


Notice

This package is part of stdlib, a standard library with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.